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Discover the Best Private Computers & Electronics Classes in Manchester

For over a decade, our private Computers & Electronics tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons at home or in Manchester, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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11 computers & electronics teachers in Manchester

Do you live in Manchester and are you aiming to do well in your GCSE or A-level Computer Science or programming coursework or exams? Here’s why I’m the right tutor for you: FIRSTHAND EXPERIENCE As an undergraduate studying Software Engineering at Manchester Metropolitan University (MMU), I have successfully navigated the challenges of Computer Science at both GCSE and A-level. My recent firsthand experience with these exams means I know what it takes to do well and can guide you effectively. EMPATHY & PERSONALISED LEARNING Having faced and overcome my own learning challenges, I understand how important it is to find the right approach for every student. I’ll work with you at your pace, using strategies that suit your learning style, to help you achieve your goals in a supportive and encouraging environment. SUBJECT EXPERTISE I can cover everything from basic algorithms and Python programming to more advanced topics like data structures, networks, and computational thinking. I will work with you to simplify complex topics, making them easy to understand and apply. EXAM-FOCUSED APPROACH I have a good understanding of the GCSE and A-level curriculums, as well as the exam requirements. I can provide clear, practical advice on how to tackle theory questions, master coding challenges, and maximise your marks with effective revision techniques. PASSION FOR TEACHING TECHNOLOGY I’m passionate about making technology approachable and inspiring confidence in others. My goal is to spark your interest and develop your skills so you can thrive in today’s digital world. Let’s work together to turn your computer science ambitions into achievements. Whether you're aiming to improve grades, solidify your understanding, or gain confidence in programming, I’m here to help you.
Computer science · Computer programming
Dive into the world of Python programming and machine learning in this hands-on introductory class! This course is designed for beginners and focuses on the foundational concepts of Python, along with the essentials of machine learning. Course Highlights: Python Fundamentals: Learn the basics of Python programming, including data types, control structures, functions, and libraries. Through practical exercises, you’ll gain confidence in writing and executing Python code. Data Manipulation and Analysis: Explore popular libraries like NumPy and pandas to handle and analyze data efficiently. Understand how to clean, process, and visualize data, preparing it for machine learning tasks. Introduction to Machine Learning: Discover the key concepts of machine learning, including supervised and unsupervised learning, algorithms, and model evaluation. Gain insights into how machines learn from data. Hands-On Projects: Apply your knowledge through real-world projects, where you'll build simple machine learning models using libraries such as scikit-learn. You'll learn to make predictions and evaluate model performance. Collaboration and Support: Work alongside fellow students in a collaborative environment, with ample opportunities for group discussions and individual support from the instructor. Who Should Enroll: This class is ideal for anyone interested in starting a career in data science or machine learning, or for those looking to enhance their programming skills with practical applications in Python. Join us and embark on an exciting journey into the realm of programming and machine learning!
Computer programming · Computer engineering · Computer science
Welcome to "AI and Data Science" – a comprehensive, customizable course designed for learners at any level, from beginners to advanced professionals. Whether you're just starting your journey into the world of artificial intelligence and data science or looking to enhance your existing skills, this course will provide you with the knowledge and practical tools you need to excel. What You'll Learn: Fundamentals of Data Science: Understanding data collection, cleaning, and preprocessing; learning to analyze and visualize data using tools like Python, Pandas, and Matplotlib. Introduction to AI and Machine Learning: Explore basic concepts of AI, supervised and unsupervised learning, and popular algorithms (e.g., regression, classification, clustering) with hands-on coding exercises. Advanced AI Techniques: Delve into deep learning, neural networks, and advanced algorithms like decision trees, SVMs, and reinforcement learning. Practical Projects: Work on real-world projects such as predictive modeling, sentiment analysis, and building AI applications using Python libraries like TensorFlow and PyTorch. Storytelling with Data: Develop skills to communicate insights effectively, using data visualization tools and storytelling techniques to create compelling narratives from data. Database Management: Learn how to work with databases (SQL and NoSQL) and manage data efficiently for large-scale applications. What to Prepare: Basic Computer Skills: No prior programming experience is required for beginners, but familiarity with basic computer operations is recommended. Software Setup: Students will need to install software like Python, Jupyter Notebooks, and data science libraries (instructions will be provided during the course). Curiosity and Dedication: This course encourages a hands-on approach, so students should come ready to code, experiment, and learn through practical examples. What to Expect: Customized Learning Experience: Lessons are tailored based on the student’s level and goals, ensuring a personalized approach that aligns with your learning pace and interests. Supportive Environment: Receive one-on-one mentoring and support to help you overcome challenges and master complex topics. Skills You Can Apply Immediately: Gain practical, job-ready skills that are in high demand across industries, including AI, finance, marketing, and tech.
Numerical analysis · Database · Computer science
Meet even more great teachers. Try online lessons with the following real-time online teachers:
Hello and Welcome! I am a certified corporate programming trainer specializing in Python and Data Analysis, with over a decade of experience in tutoring and software development. My goal is to make programming approachable and engaging by helping learners build a strong foundation and grow into confident, independent coders. Over the years, I have trained students across different levels and backgrounds in Python programming, automation, and data analytics. I emphasize hands-on, practical learning supported by clear explanations and real-world examples. My teaching approach focuses on understanding core concepts, writing efficient code, and developing problem-solving skills that can be applied in professional and academic settings. Courses Offered 1. Basic Python Programming This course is designed for beginners who want to build a solid foundation in Python. Topics include: Introduction to Python and environment setup Variables and data types Operators and expressions Conditional statements Types of loops and loop control Functions and scope Data structures: lists, tuples, sets, and dictionaries Mini projects and problem-solving exercises 2. Advanced Python Programming This course is designed for learners who already know the basics of Python and want to explore its advanced features. Topics include: Lambda functions and list comprehensions Generators, yield, and closures Decorators Object-Oriented Programming (classes, inheritance, polymorphism, encapsulation) File handling and exception handling Mini projects integrating multiple concepts 3. Data Analysis Using Python (NumPy and Pandas) This course introduces essential tools for data manipulation and analysis using Python libraries. Topics include: Working with NumPy arrays Using Pandas DataFrames and Series Data cleaning, filtering, and transformation Handling missing values and duplicates Grouping, aggregation, and pivot tables Exporting data to CSV and Excel Real-world exercises with sample datasets
Python · Computer programming · Database
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Our students from Manchester evaluate their Computers & Electronics teacher.

To ensure the quality of our Computers & Electronics teachers, we ask our students from Manchester to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 75 reviews.

Unlock Math Confidence with a Top-Tier Tutor| School & University Level | Exam Prep & Confidence Boosting (Amsterdam)
Baia
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I couldn’t ask for a better tutor for my daughter! Baia is incredibly knowledgeable in math and algorithms, but what I truly think it sets her apart is her patience, kindness, and ability to make complex concepts easy to understand. She is always well-prepared and adapts her teaching style to fit my daughter’s needs, ensuring that learning is both effective and enjoyable. My daughter has gained so much confidence in her skills thanks to Baia’s guidance. I highly recommend her to anyone looking for an outstanding tutor!
Review by PATRICK REIS
Scientific subjects (Math, Physics, Chemistry) for students of the French mission/for middle and high school students (Casablanca)
Amin
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So far, I've been getting help with my IGCSE 's in Math and Computer Science with Amin. In most of the lessons I've been with him, he's been really helpful and responsible. He has also been very patient. He helps me become more confident in my answers and makes the lessons pretty fun! After my lessons with him, I do understand my topics more and am able to go to my classes in school without feeling lost. If you're ever struggling with Physics or Programming, I'm sure he can help you too :)
Review by MANIJ
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